ML Infra Engineer for Global, High-Performance Recommendations

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Career growth opportunities

Paid leave

Flat organization

Job summary

ByteDance Singapore is seeking an experienced engineer to build and optimize our recommendation stack. You will design scalable systems, implement high-performance online services, and improve data flow for video platforms.

The role requires expertise in C/C++/Golang, GPU optimization, and ML frameworks, with collaboration across hardware and software teams in a fast-paced environment.

Qualifications

• Degree in CS or related field with strong system design experience.
• 3+ years building scalable distributed systems in Linux.
• Experience with GPU programming and performance analysis.
• Familiarity with modern ML frameworks and toolchains.

Responsibilities

• Develop and optimize large-scale recommendation systems.
• Build high-performance online services for TikTok recommendations.
• Research, design, and implement software and utilities.
• Analyze user needs to provide scalable software solutions.
• Collaborate with hardware engineers to align software and hardware.

Skills

Linux programming

C/C++/Golang

GPU architecture

CUDA/cuDNN knowledge

Deep model inference/training

ML frameworks (TensorFlow, PyTorch, MX

Education

Bachelor's degree or above in Computer Science or related fields

Tools

TVM

MLIR

XLA

TensorFlow

PyTorch

MXNet

Job description

ByteDance Singapore is seeking an experienced engineer to build and optimize our recommendation stack. You will design scalable systems, implement high-performance online services, and improve data flow for video platforms.

The role requires expertise in C/C++/Golang, GPU optimization, and ML frameworks, with collaboration across hardware and software teams in a fast-paced environment.